- Financial Solutions :
A primary challenge in various financial institutes is associated with analysis of large amount of qualitative and quantitative data. Financial forecasting technology helps in
identifying bankruptcy cases, company specific stock sentiments, fraud transaction detection, and insurer’s risk identification. Machine learning and data mining technology
enables building financial statistical model for outcome prediction or forecasting.
- Intelligent Semantic Search Solutions :
Going beyond keyword searches, intelligent semantic solution seeks to capture the intent of an user. The domain specific knowledge of the application enables effective
identification of user intent. The relevance of the document is determined not purely based on content information but also by taking under consideration the user history,
geospatial, temporal and virtual contextual information. Semantic Search is as well augumented by domain specific ontology developed by expert.
Semantic search is boosted with self-learning algorithm to improvise the relevance determination.
- Scalable solutions :
Ease of access to information and ability to conveniently share the same has resulted in exponential rise in data which needs to stored,
processed and retrieved within a constrained time limit. At the same time the generation and inflow of data continues to grow at a significant high rate.
Under such circumstances, we desire a system which is easily and effectively scalable in real time. Scalable solutions need to take under consideration concerns
not only related to managing large data but as well as to have distributed computing grid in place that is effective in delivering. The computational grid is made of low end
cost effective hardware which scale and adapt linearly to any change in the system.
- Bioinformatics & Life Sciences :
Bioinformatics is a vast field encapsulating gene expression, structural
and functional proteomics, computational biology, DNA Sequencing,
functional genomics, metabolic pathways and many such advanced areas of
research. The primary challenge across all is to model them into
mathematical or algorithmic problem and harness the computational power
of computers to achieve the desired goals. A wide range of advanced
algorithms for string matching, network topology, predictive statistical
models, graph algorithms, clustering and image processing are used to
assist in solving problems. Named Entity Identification and NLP
techniques are as well used to process medical and pharmaceutical
related literature to store, retrieve and extract desired data from
large data stores. It also requires integration with several online
ontologyies and data sources to enrich results.
- Human Resource Solutions :
The primary challenge in HR solutions is dealing with two complimentary data sets, one class belongs to job listing published by companies and other is the
resume profiles submitted by individuals. For a job aggregator company the primary task is to aggregate data from heterogeneous data sources. Since the count
of job listing and the resume can be in tens of thousands, practically it is impossible to manually achieve the best association of job listing to resumes. A use of
vector-space model and clustering algorithm effective reduces the problem space and assist to eliminate substantial large number of irrelevant matches with high accuracy.
The same fundamentals can be extended to several other domains where primary obstacle is to map entities form complimentary data set.
- Search Engine Optimization (SEO) and Adwords :
SEO is intended to improve the search engines visibility towards web pages in an organic manner. On the contrary Adwords is a search marketing strategy provided by Google to
facilitate explicit advertisement. Both techniques inherently require an ability to auto analyze large number of dynamic web pages and predict the core concepts underlying their content.
Advanced statistical and Markov models assist in building NLP algorithms for auto generate key concepts. Another aspect at the core of SEO is linkage building across web pages ans also across website
which in turn influences the relevance order in search engine results.
- Social Networking Solutions:
Social Networks has revolutionized the means of interaction and exchange of information among people. Any business can be substantially benefited by exploiting the
strong virtual network of individuals who could be potential clients. A business can utilize the network not only to advertise itself through virtual connections but can even derive inferences and
strong connection that would enable aggressively pursuing finite goals. An example of such a solution is recommendation of a product to a targeted audience based on their
networked connections.
- Enterprise Content Management Solution :
Every medium and large institute such as enterprise businesses, schools and hospitals
that generate large amount of data in form of documents and
reports require an electronic means of storing and retrieving of data.
More importantly they need an easy way of searching for a desired
historical documents. A wide array of technology can be put together in
place depending on the problem and the complexity of the solution
demanded. If the documents are generated on continous basis, then the data can grow exponentially in quantity, this would demand a
large scalable distributed storage system. Whereas if the demand is for
effective search then semantic search capability can be plugged in into
the solution. Domain specific knowledge can be integrated into the
solutions to enrich user experience.
- Entertainment Solutions :
Books, music, movies and various other channels of entertainment going
digital has in turn opened doors for intelligent solution to play an
important role. It’s quite interesting to observe that human interaction
on topics such as movies and music are prominently motivated by
similarity in interest. Fascinating intelligent systems can be developed
that can smartly recommend books, movies, music or gifts online by
capturing user’s virtual behavioral pattern, historical information and
their similarity with other users across online community.
Recommendation engine lies at the core of several domain, applications
and technology which inherently desires intelligent decision making
capability.
- Litigation Solution :
Litigation solution is associated with electronic discovery dealing
with exchange of information in electronic format. The source of data in
this case come from wide range of electronic documents such as email,
PDF, presentations, spread sheet, word and text document. The textual
contents of these documents need to be analyzed using NLP/IR techniques
to extract key concepts from the large collection of document and use
this meta information to categorize relevance of the document in the
case. The solution requires semantic and contextual analysis of large
amount of data.
